Associate Data Scientist (AI & Analytics)
LearnPlatform
Software Engineering, Data Science
Budapest, Hungary
Posted on Jan 14, 2026
At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome.
And that's where you come in: We believe in empowering people through data, and we’re looking for a Decision Scientist to help us uncover insights that drive better learning experiences and strategic outcomes.
As an Associate Data Scientist at Instructure, you’ll work at the intersection of data, AI, and business decision-making. You’ll partner closely with senior Data Scientists, product managers, and cross-functional teams to support analyses that inform product, growth, and go-to-market decisions impacting millions of learners.
This role is designed for early-career Data Scientists who have strong analytical foundations, hands-on project experience, and high learning velocity, and who are ready to grow into owning end-to-end work with mentorship and support.
What You’ll Do
- With guidance from senior team members, you will:
- Support cross-functional projects by translating business questions into analytical work, including exploratory analysis, experimentation support, and modeling
- Analyze product and user data to surface insights related to feature performance, engagement, and growth
- Build and maintain dashboards, reports, and analyses that help teams understand key metrics
- Contribute to experimentation efforts (A/B tests), including setup, analysis, and interpretation
- Assist with forecasting and modeling used for planning and decision-making
- Communicate findings through clear written summaries, visualizations, and presentations
- Use AI tools (e.g., ChatGPT, Claude, Cursor) to accelerate analysis, coding, and learning
- Learn and apply best practices around data quality, experimentation, and statistical rigor
- Contribute to a culture of learning, documentation, and continuous improvement within the data team
What You’ll Need to Know/Have
- 0–2 years of experience in data science, analytics, or a related quantitative role (or strong recent graduates with meaningful applied experience)
- Strong foundations in SQL and experience using Python or R for analysis
- Coursework or hands-on experience with:
- Statistics and experimentation
- Core machine learning techniques (e.g., regression, classification, clustering, time series)
- Practical experience through internships, research, coursework projects, or side projects
- Comfort working with messy, real-world data
- Familiarity with BI and data visualization tools (e.g., Tableau, Looker, Power BI)
- Experience using AI tools to accelerate analysis and problem solving
- Clear communication skills and willingness to ask questions, learn, and iterate
- Curiosity, adaptability, and strong learning velocity
- It Would Be a Bonus If You Had
- Experience in EdTech or working with education-related products
- Familiarity with cloud-based data platforms (e.g., Snowflake, Redshift, BigQuery)
- Experience with product analytics, experimentation, or lifecycle analysis
- Prior experience working in cross-functional teams
Growth & Development - In this role, you’ll be supported to
- Gradually take on more ownership of analyses and projects
- Develop judgment around experimentation, modeling, and tradeoffs
- Learn how to influence decisions through data storytelling
- Grow toward a mid-level or senior Data Scientist role over time
Why Join Us
- Join us and help shape the future of education through intelligent insights and meaningful impact
- At Instructure, we’re on a mission to help educators and students learn together - anytime, anywhere, and however works best. You’ll join our advanced development team, a research-driven group tackling education’s biggest challenges with cutting-edge technology. Our projects have included making sense of unstructured feedback, applying large language models to save teachers’ time and improve student experiences, classifying partner networks for smarter recommendations, and detecting fraud to protect resources for real learners.
- We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you’ll have the chance to build the next generation of LMS features that make a real impact on students and teachers—and to do it in a collaborative, supportive environment that encourages experimentation and growth.
Get in on All the Awesomeness at Instructure
- We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:
- Competitive compensation and participation in Instructure’s equity program
- Flexible schedules and a remote-friendly culture, with hybrid or onsite work based on business needs
- Annual “Dim the Lights” company-wide shutdown from December 26 to December 31
- Comprehensive wellness programs and mental health support
- Annual learning and development stipends to support your growth
- We provide the technology and tools you need to do your best work—typically a Mac, with PC options available in some locations
- A culture rooted in inclusivity, support, and meaningful connection
We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.
Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.
All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.
Any attempt to misrepresent personal or professional information will result in disqualification.
1000000 - 14000000 HUF a month
This range reflects our target hiring range, with flexibility based on experience, skills, and market factors.